Reversible color transform for Bayer color filter array images

APSIPA Transactions on Signal and Information Processing

Suvit Poomrittigul²  Hitoshi Kiya¹  Masahiro Iwahashi²  Masanori Ogawa² 

[1] Tokyo Metropolitan University;Nagaoka University of Technology

关键词: color;    image;    lossless;   

DOI  :  10.1017/ATSIP.2013.6

学科分类：计算机科学（综合）

来源: Cambridge University Press

【 摘 要 】

In this paper, we propose a reversible color transform (RCT) for color images acquired through a Bayer pattern color filter array. One existing RCT with fixed coefficients is simple to implement. However, it is not adaptive to each of input images. Another existing RCT based on eigenvector of covariance matrix of color components, which is equivalent to Karhunen–Loève transform (KLT), is adaptive. However, it requires heavy computational load. We remove a redundant part of this existing method, utilizing fixed statistical relation between two green components at different locations. Comparing to the KLT-based existing RCT, it was observed that the proposed RCT keeps adaptability and has better coding performance, even though its computational load is reduced.

【 授权许可】

Unknown